code: def _get_boxes(self):
      boxes_t = self._anchors.boxes[:, 0] / self._image_size[0]
      boxes_l = self._anchors.boxes[:, 1] / self._image_size[1]
      boxes_b = self._anchors.boxes[:, 2] / self._image_size[0]
      boxes_r = self._anchors.boxes[:, 3] / self._image_size[1]
      boxes = tf.transpose(
          tf.stack([boxes_l, boxes_t, boxes_r, boxes_b])
      )
      return tf.reshape(boxes, boxes.shape[0] * 4).numpy().tolist()
  
file_path: DALI/docs/examples/use_cases/tensorflow/efficientdet/pipeline/dali/efficientdet_pipeline.py
imports: import nvidia.dali
  from nvidia.dali import pipeline_def
  import nvidia.dali.plugin.tf
  import tensorflow
  import math
  from absl import logging
  from glob import glob
  from pipeline import anchors
  from utils import InputType
  from .None import ops_util
label_desc: Use image node_id 2 for calling the EfficientDetPipeline obj's underlying member method code with example usage: obj._get_boxes() and returns: tf